Research on Adaptive Hidden Danger Identification Characteristic of Intelligent Power System

Sanqiang Chen, K. Wu, Jiangmiao Zhu
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Abstract

朱建淼,陈三强 浙江省安全生产科学研究院、浙江省安全工程与技术研究重点实验室,杭州 310012 zjmsx@163.com Abstract:The principle,adaptive hidden danger identification characteristic and features of an intelligent power system are introduced in this paper. The types and distributions of common hidden dangers in electrical circuits are analyzed from a systematic perspective based on the monitoring data, which can provide basic ideas and methods for the further rectification directions of the circuits. According to an uncompleted statistics, approximately 15000 sets of intelligent power system are installed in Zhejiang Province. 583,665 hidden dangers have been monitored in which the hidden dangers of current take 41.2%, the hidden dangers of residual current occupy 37.3% and the hidden dangers of cable temperature contributes 21.5%. By the construction of socialized service system through intelligent electricity and electric fire prevention and control, the accurate location and accurate investigation of an electrical fire hazard can be realized, which can effectively reduce the hidden danger of safety in the process of electricity use, reduce the number of electric fires, and raise the risk awareness of the enterprise's electricity safety. The electrical fire accidents have dropped by more than 30% in the area where the intelligent power system is installed.
智能电力系统自适应隐患识别特性研究
摘要:本文介绍了智能电力系统的原理、自适应隐患识别特性及特点。根据监测数据,从系统的角度分析了电气回路中常见隐患的类型和分布,为电路的进一步整改方向提供了基本思路和方法。据不完全统计,浙江省已安装智能电力系统约15000套,监测到的安全隐患583665个,其中电流隐患占41.2%,余流隐患占37.3%,电缆温度隐患占21.5%。通过智能用电和电气火灾防控建设社会化服务体系,实现对电气火灾隐患的准确定位和准确排查,可以有效降低用电过程中的安全隐患,减少电气火灾的发生次数,提高企业电气安全的风险意识。在安装了智能电力系统的地区,电气火灾事故下降了30%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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